code: def _load_builder(
      name: str,
  ) -> Optional[BuilderToDocument]:
      """Load the builder to document.
  
      Args:
        name: Builder to load
  
      Returns:
        BuilderToDocument or None.
      """
      try:
          dataset_name = tfds.core.naming.DatasetName(name)
      except ValueError as e:
          logging.warning(
              "Could not parse dataset with name %s", name, exc_info=e
          )
          return None
      if dataset_name.namespace:  # Community dataset
          return _load_builder_from_location(
              name=name, dataset_name=dataset_name
          )
      else:  # Code dataset
          return _load_builder_from_code(name)
  
imports: from concurrent import futures
  import dataclasses
  import functools
  from typing import Any, Iterator, List, Optional, Set, Type
  from absl import logging
  import tensorflow_datasets
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  from tensorflow_datasets.scripts.documentation import collection_markdown_builder
  from tensorflow_datasets.scripts.documentation import dataset_markdown_builder
  from tensorflow_datasets.scripts.documentation import doc_utils
  import tqdm
label_desc: Use image node_id 2 for calling a global function with example usage: _load_builder(name) and returns: _load_builder_from_location, _load_builder_from_code, None